Keep your AI conversations organized and easy to find.
What Are Collections?
As you use AI more, your chat history grows quickly. Without organization, finding that brilliant marketing strategy the AI helped you draft last Tuesday becomes a frustrating scroll through dozens of unrelated conversations.
Collections solve this by letting you group related conversations into named folders. Think of them like playlists for your AI chats — you decide the categories, and every conversation has a home.
No more lost conversations
The average active AI user creates 10-20 new conversations per week. Without collections, valuable outputs get buried fast. A few minutes spent organizing can save hours of searching later.
Creating and Managing Collections
Setting up your collection system is straightforward. The key is choosing categories that match how you actually work, not how you think you should organize things.
Organizing by Project or Topic
The best organization strategy depends on how you use AI. Here are proven approaches that work well for different types of users:
Keep it simple
Start with 3-5 collections that match your most common use cases. You can always add more later. Too many collections from the start can be just as disorganizing as having none at all.
Bookmarking Important Conversations
Some conversations produce outputs you'll want to reference again and again — a perfectly crafted email template, a complex code solution, a detailed analysis, or a set of instructions you want to reuse. Bookmarking lets you flag these conversations for quick access.
Combined with collections, bookmarks give you a two-level organization system: collections for grouping related chats, and bookmarks for highlighting the most valuable ones within each group.
Bookmark conversations with reusable templates or formats you want to reference later
Flag complex solutions or multi-step workflows that took several iterations to perfect
Save conversations where the AI explained a concept particularly well for future study
Mark important decisions or analysis that you may need to revisit or share with others
Organization Best Practices
Name your conversations descriptively — 'Python API error fix' is more findable than 'Help me'
Organize as you go rather than in big batches — it takes 2 seconds to add a chat to a collection
Review and clean up collections monthly — archive old projects, merge overlapping categories
Use one conversation per topic — starting fresh for new subjects keeps individual chats focused and easy to find
Bookmark the gold — when AI gives you an especially useful response, flag it immediately so you can find it later
No more lost conversations
The average active AI user creates 10-20 new conversations per week. Without collections, valuable outputs get buried fast. A few minutes spent organizing can save hours of searching later.
Create a New Collection — Give your collection a clear, descriptive name. "Work Projects" is better than "Stuff." You can also add an emoji or color to make collections visually distinct in your sidebar.
Add Chats to Collections — You can add a conversation to a collection at any time — when you start it or after it's finished. A single conversation can belong to one collection, so choose the most relevant one.
Browse and Search Within Collections — Once organized, you can browse a specific collection to see only related chats. This is much faster than scrolling through your entire history when you need to revisit a past conversation.
By Project — Create one collection per project — "Website Redesign," "Q3 Marketing Plan," "Thesis Research." This keeps all related conversations together regardless of the task type (writing, coding, brainstorming, etc.).
By Task Type — Group conversations by what you're doing — "Code Reviews," "Email Drafts," "Content Ideas," "Learning." This works well if you do the same types of tasks across many projects.
By Time Period — Some users prefer organizing by week or month — "January 2026," "Sprint 14." This works especially well for freelancers or consultants who track work by time period.
Keep it simple
Start with 3-5 collections that match your most common use cases. You can always add more later. Too many collections from the start can be just as disorganizing as having none at all.
Collections let you group related AI conversations into named folders, making it easy to find past chats when you need them.
Choose an organization strategy that matches how you work — by project, task type, or time period — and keep it simple with 3-5 collections to start.
Bookmark your most valuable conversations for quick access to reusable templates, solutions, and important outputs.